pandas
https://github.com/pydata/pandas
Python
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
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- Issues
- TST (string dtype): resolve all easy xfails in pandas/tests/groupby
- [backport 2.3.x] String dtype: enable in SQL IO + resolve all xfails (#60255)
- BUG: inconsistent treatment of overflows between groupby.sum() and groupby.apply(lambda: _grp: _grp.sum()) and DataFrame.resample
- BUG: spearman correlation doesn't work on non-numeric data
- DOC: v2.2 offline documentation search button not work
- DOC: Dataframe.from_records should not say that passing in a DataFrame for data is allowed
- BUG: assignment fails with copy_on_write = True
- BUG: Supress `read_json` Spurious `to_datetime` FutureWarning
- API: how to check for "logical" equality of dtypes?
- API: return value of `.values` for Series with the future string dtype (numpy array vs extension array)
- Docs
- Python not yet supported